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Applying Genetic Algorithms to the Load-Balancing Problem

Freitas, Alex Alves and Anacleto, Junia Coutinho and Kirner, Claudio (1994) Applying Genetic Algorithms to the Load-Balancing Problem. In: Baeza-Yates, Ricardo, ed. Computer Science 2: Research and Applications. Springer, Boston, Massachusetts, USA, pp. 7-13. ISBN 978-1-4757-9807-4. E-ISBN 978-1-4757-9805-0. (doi:10.1007/978-1-4757-9805-0_3) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21155)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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http://dx.doi.org/10.1007/978-1-4757-9805-0_3

Abstract

In the Parallel Processing literature, the Load-Balancing Problem consists of distributing evenly a set of tasks among the processors of a parallel machine or a distributed system, so that the total execution time of all tasks is minimized. Hence, we want to minimize the parallel processing time (PPT) of a set of n tasks — each of them with a previously-known execution time — on m processors (m ≥ 2 and n > m), given by the following objective function: PPT=max{Ti},i=1,2,…n, where Ti is the processing time assigned to processor i, that is the total execution time of all tasks scheduled to processor i.

Item Type: Book section
DOI/Identification number: 10.1007/978-1-4757-9805-0_3
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 12 Aug 2009 19:05 UTC
Last Modified: 16 Feb 2021 12:31 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21155 (The current URI for this page, for reference purposes)
Freitas, Alex Alves: https://orcid.org/0000-0001-9825-4700
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